Integrated Electronic Skin for Dexterous Robotic Hands  [GitHub]
Yunqi Zhong, supervised by Prof. Jiankun Wang. The laboratory is led by Academician Max Q.-H. Meng
Shenzhen Key Laboratory of Robotics Perception and Intelligence, SUSTech  2025.09–present
Focus on real-time visuotactile perception for dexterous robotic hands. Key contributions: assembled and optimized a 17-DOF dexterous robotic hand; built the iontronic electronic skin pipeline from flexible sensor fabrication to parallel FDM/CDM readout circuits; participated in an approved Guangdong Climbing Program project.

DOGlove: Dexterous Hand Teleoperation for RL-Based Assembly Tasks
Yunqi Zhong, supervised by A/Prof. Chao Zhao
School of Artificial Intelligence, Jilin University  2026.01–2026.03
Replicated a low-cost, high-performance teleoperation system for dexterous hands as a data collection and evaluation testbed for reinforcement learning and vision-based policy learning. Downstream task: autonomous LEGO assembly demonstration. Key contributions: procured components and assembled full hardware; refined 3D-printed models; implemented real-time hand pose tracking and force feedback.